---
license: creativeml-openrail-m
library_name: diffusers
pipeline_tag: text-to-image
tags:
- anime
- cartoon
- art
- Colorful
- Vivid
- Paintings
- advokat
- andite
- stable-diffusion
- stable-diffusion-1.5
- stable-diffusion-diffusers
- diffusers
- text-to-image
base_model: 
  - Yntec/PastelMix
  - Yntec/Cheesecake
base_model_relation: merge
---

The joke is that Pastel translates as Cake in spanish, so yo dawg, I herd you like cake, so I put a pastel in your cake so you can cake while you pastel! Work in progress.

Original pages:

https://civitai.com/models/6550?modelVersionId=7684 (MapleSyrup)

https://huggingface.co/Yntec/Tantrum

https://civitai.com/models/5414/pastel-mix-stylized-anime-model

# 8008a and PastelcakeAlpha

These are softer, easier to prompt versions of Pastelcake. The former is preserved because its name matches the first five characters of its hash, the second is here in case you don't want a style so artistic and would rather have better eyes and an easier way of prompting the model. I prefer the finest details of Pastelcake and that's why I made it the default.

# Recipes:

- SuperMerger Weight sum Train Difference Use MBW 1,0,0,0,0,0,0,1,1,1,1,1,1,0,1,1,1,0,0,0,1,1,1,0,0,0

Model A: 

Cheesecake

Model B:

PastelMix

Output Model:

8008a

- SuperMerger Weight sum Train Difference Use MBW 1,0,1,0,0,1,1,1,1,1,1,1,1,0,1,1,1,0,0,0,0,0,0,0,0,0

Model A: 

Cheesecake

Model B:

PastelMix

Output Model:

PastelcakeAlpha

- SuperMerger Weight sum Train Difference Use MBW 1,0,0,0,1,1,1,1,1,1,1,1,1,0,1,1,1,0,0,0,0,0,0,0,0,0

Model A: 

Cheesecake

Model B:

PastelMix

Output Model:

Pastelcake

# Merge Block Weight Analysis

If each corresponding block was labeled as this:

T = Tantrum

P = PastelMix

M = Maple Syrup

Then the weights of the model would read like this:

P,M,M,T,P,P,P,P,P,P,P,P,P,T,P,P,P,M,M,M,M,M,M,M,M,M